Spectroscopy and Spectral Analysis, Volume. 42, Issue 4, 1156(2022)
Prediction of Tidal Flat Sediment Moisture Content Based on Wavelet Transform
The distribution of water in flat tidal sediments will change greatly in space and time, and the changes will lead to the changes of biogenic elements in sediments. Therefore, the tidal flat sediment water content data are monitored in real time, accurately and quickly, which is of great significance to understanding the tidal flat characteristics, grasp the information of tidal flat biogenic elements, and develop tidal flat resources. This paper collected 115 samples of intertidal sediments from Dongdayang village, Qingdao city. The visible near-infrared spectra and moisture content of fresh samples, air-dried for 4 weeks and 8 weeks were measured. The db10 and sym6 wavelet basis were used to transform the original spectrum, and partial least squares regression was used to establish the tidal flat sediment moisture content model. The low-frequency information An and high-frequency information Dn (n=1, 2, …, 10) of the original spectrum were obtained by 10 order wavelet transform. S- Dn was calculated by the difference between the original spectrum S and Dn. The moisture content models were established using An, Dn and S- Dn, respectively, and the results were analyzed. The original spectrum model’s
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Xue-ying LI, Zong-min LI, Guang-yuan CHEN, Hui-min QIU, Guang-li HOU, Ping-ping FAN. Prediction of Tidal Flat Sediment Moisture Content Based on Wavelet Transform[J]. Spectroscopy and Spectral Analysis, 2022, 42(4): 1156
Category: Research Articles
Received: Mar. 16, 2021
Accepted: --
Published Online: Jul. 25, 2023
The Author Email: LI Xue-ying (412973984@qq.com)